About The Role

Join Rokt, a leading ecommerce platform that powers over 10 billion transactions a year. As a Senior Software Engineer, you will design, build, and maintain scalable services, troubleshoot production issues, and drive performance optimizations. You will also mentor junior engineers, collaborate with cross-functional stakeholders, and participate in an on-call rotation. Enjoy a range of benefits including generous PTO, employee equity options, catered lunches, health and wellness benefits, and a hybrid workplace.

Design, develop, test, deploy, maintain and improve scalable services dealing with ultra high-throughput.
Troubleshoot production issues, conduct incident root cause analysis, optimise performance, and maintain scalable solutions under real traffic.
Drive performance optimisations and refactors that improve system reliability, latency, and cost.
Relevant bachelor's degree (or equivalent experience) and 4+ years in commercial software development, designing, building, and operating distributed systems in modern languages like C#, Go, Java, Scala, or TypeScript
Strong analytical and problem-solving ability across troubleshooting, performance, and scale
Experience with cloud platforms, CI/CD pipelines, and containerisation and orchestration tools (Docker/Kubernetes)
Experience taking your own code to production and operating it
Willingness to work 4 day in-office, 1 day remote weekly schedule
Site Reliability Engineering. Owning the operational surface of high-traffic systems: observability, anomaly detection, incident response, and automations that keep on-call sustainable as the network grows
Web & Mobile front-end & SDKs. Building and Refining Rokt's Web and Mobile Software Development Kits for performance, security, and seamless integration across thousands of partner environments
MLOps. Building the infrastructure that lets ML move from notebook to production: feature and data access at scale, model management & training, deployment, and the tooling ML Applied Scientists depend on to ship and iterate
Data engineering. Building and scaling ingestion and storage on open-source foundations like Kafka, Spark, Cassandra, Iceberg, and Trino. Owning data systems that stay correct and queryable as volume grows by orders of magnitude
High-throughput, low-latency distributed systems. Designing and operating internet scale backend services and APIs, with versioning, performance, scalability, and reliability treated as first-order concerns
+ Experience relevant to one or more of the following:

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